---
title: J.O.S.I.E.3-Beta12-7B-slerp-4-bit
canonical_url: "https://www.modelscope.cn/models/mlx-community/J.O.S.I.E.3-Beta12-7B-slerp-4-bit"
md_url: "https://www.modelscope.cn/models/mlx-community/J.O.S.I.E.3-Beta12-7B-slerp-4-bit.md"
repository: mlx-community/J.O.S.I.E.3-Beta12-7B-slerp-4-bit
last_updated: 2024-12-19
license: apache-2.0
model_type:
  - mistral
architectures:
  - MistralForCausalLM
base_model:
  - argilla/CapybaraHermes-2.5-Mistral-7B
base_model_relation: finetune
parameters: 1.1B
tensor_type:
  - U32
  - F16
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - pytorch
language:
  - en
  - de
  - es
  - fr
  - ja
  - zh
inference_backends:
  - "deploy_task text/emb"
  - "lmdeploy 0.9.1"
  - "lmdeploy_turbomind 0.9.1"
  - "sglang 0.5.2"
  - "vllm 0.9.2"
downloads: 983
stars: 0
tags:
  - merge
  - mergekit
  - lazymergekit
  - Weyaxi/Einstein-v6-7B
  - argilla/CapybaraHermes-2.5-Mistral-7B
  - mlx
---

# J.O.S.I.E.3-Beta12-7B-slerp-4-bit

> J.O.S.I.E.3-Beta12-7B-slerp-4-bit - mlx-community 在 ModelScope 开源的模型。mlx-community/J.O.S.I.E.3-Beta12-7B-slerp-4-bit This model was converted to MLX format from Isaak-Carter/J.O.S.I.E.3-Beta12-7B-slerp using mlx-lm version 0.12.0. Refer to the original model…

mlx-community/J.O.S.I.E.3-Beta12-7B-slerp-4-bit 是 ModelScope 魔搭社区上的 1.1B 参数机器学习模型，采用 apache-2.0 许可，基于 argilla/CapybaraHermes-2.5-Mistral-7B 构建，可用 deploy_task text/emb、lmdeploy 0.9.1、lmdeploy_turbomind 0.9.1 部署。

- **Repository**: mlx-community/J.O.S.I.E.3-Beta12-7B-slerp-4-bit
- **License**: apache-2.0
- **Parameters**: 1.1B
- **Base model**: argilla/CapybaraHermes-2.5-Mistral-7B
- **Inference backends**: deploy_task text/emb, lmdeploy 0.9.1, lmdeploy_turbomind 0.9.1, sglang 0.5.2, vllm 0.9.2
- **Tags**: merge, mergekit, lazymergekit, Weyaxi/Einstein-v6-7B, argilla/CapybaraHermes-2.5-Mistral-7B, mlx
- **Downloads**: 983
- **Stars**: 0
- **Last updated**: 2024-12-19

Source: https://www.modelscope.cn/models/mlx-community/J.O.S.I.E.3-Beta12-7B-slerp-4-bit

---

# mlx-community/J.O.S.I.E.3-Beta12-7B-slerp-4-bit
This model was converted to MLX format from [`Isaak-Carter/J.O.S.I.E.3-Beta12-7B-slerp`]() using mlx-lm version **0.12.0**.
Refer to the [original model card](https://huggingface.co/Isaak-Carter/J.O.S.I.E.3-Beta12-7B-slerp) for more details on the model.
## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/J.O.S.I.E.3-Beta12-7B-slerp-4-bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```


Prompt Format to use

```text
<|im_start|>system
You are JOSIE, my private and superinteligent AI Assistant.<|im_end|>
<|im_start|>user
{{ .Prompt }}<|im_end|>
<|im_start|>assistant
{{ .Response }}<|im_end|>
```